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DOI 10.1093/procel/pwad063

Медицинская библиотека · Protein & cell · 2024

Aging hallmarks of the primate ovary revealed by spatiotemporal transcriptomics.

Lu Huifen, Jing Ying, Zhang Chen, Ma Shuai, Zhang Weiqi, Huang Daoyuan, Zhang Bin, Zuo Yuesheng, Qin Yingying, Liu Guang-Hui, Yu Yang, Qu Jing, Wang Si

СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

The ovary is indispensable for female reproduction, and its age-dependent functional decline is the primary cause of infertility. However, the molecular basis of ovarian aging in higher vertebrates remains poorly understood. Herein, we apply spatiotemporal transcriptomics to benchmark architecture organization as well as cellular and molecular determinants in young primate ovaries and compare these to aged primate ovaries. From a global view, somatic cells within the non-follicle region undergo more pronounced transcriptional fluctuation relative to those in the follicle region, likely constituting a hostile microenvironment that facilitates ovarian aging. Further, we uncovered that inflammation, the senescent-associated secretory phenotype, senescence, and fibrosis are the likely primary contributors to ovarian aging (PCOA). Of note, we identified spatial co-localization between a PCOA-featured spot and an unappreciated MT2 (Metallothionein 2) highly expressing spot (MT2high) characterized by high levels of inflammation, potentially serving as an aging hotspot in the primate ovary. Moreover, with advanced age, a subpopulation of MT2high accumulates, likely disseminating and amplifying the senescent signal outward. Our study establishes the first primate spatiotemporal transcriptomic atlas, advancing our understanding of mechanistic determinants underpinning primate ovarian aging and unraveling potential biomarkers and therapeutic targets for aging and age-associated human ovarian disorders.

Для цитирования: Lu Huifen, Jing Ying, Zhang Chen, Ma Shuai, Zhang Weiqi, Huang Daoyuan, Zhang Bin, Zuo Yuesheng, Qin Yingying, Liu Guang-Hui, Yu Yang, Qu Jing, Wang Si. Aging hallmarks of the primate ovary revealed by spatiotemporal transcriptomics.. Protein & cell. 2024. DOI: 10.1093/procel/pwad063.

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